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Roles & Responsibilities, Mandatory: JD. 4-6 years of professional work experience in a relevant field. Good experience and hands-on with Azure Databricks, ADF, delta lake.. Experience/ prior knowledge on semi structure data and steaming, Azure synapse analytics, data lake, data warehouse. . Hands on experience with Azure Data Lake, Azure Data Factory, SQL Data Warehouse, SQL, Python, cosmos db.. Proficient in creating Azure Data Factory pipelines for ETL processing copy activity, custom Azure development etc.. knowledge on Power bi would be beneficial.. Understand business requirements to set functional specifications for reporting applicationsAdditional Information: Skill set: Azure Databricks , ADF, SQL, ETL (Data engineering)Good to have skills :Certification in Azure
BE
5-8
Job ID: 153935681
Skills:
Java, Graphql, Apis, Node.js, Angular, React, REST, Gcp, Containers, Azure, Python, AWS, LangChain, vector search, infra-as-code, prompt chaining, Semantic Kernel, context management
Skills:
Apis, Json, Python, ChatGPT, AI automation tools, generative AI, Claude, AI LLM-based applications, Gemini, prompt engineering
Skills:
telemetry , containerization , SAP, Veeva, Cloud Infrastructure, Microservices, Typescript, Netsuite, Python, Logging, Java, Apis, Data Management, Integrations, Business Rules, ERP Integrations, Workflow Orchestration, Responsible AI Practices, Distributed Services, Salesforce, Real-time Processing, Production Monitoring Frameworks, SaaS Platforms, Enterprise Integrations, Observability Tooling
Skills:
Sql, Java, Microservices, API Design, BigQuery, AWS, Python, Azure, Go, LlamaIndex, Vertex Vector Search, Prompt Engineering, Apache Iceberg, Vector Databases, LangChain, BigQuery Omni, Pinecone, Generative AI, Secure Coding Practices
Skills:
Gcp, Datadog, AWS, Prometheus, Kubernetes, Python, Grafana, OpenTelemetry